Please use this identifier to cite or link to this item:
https://doi.org/10.18632/oncotarget.17102
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dc.title | A systematic review and meta-analysis of individual patient data on the impact of the BIM deletion polymorphism on treatment outcomes in epidermal growth factor receptor mutant lung cancer | |
dc.contributor.author | Soh, S.X | |
dc.contributor.author | Siddiqui, F.J | |
dc.contributor.author | Allen, J.C | |
dc.contributor.author | Kim, G.W | |
dc.contributor.author | Lee, J.C | |
dc.contributor.author | Yatabe, Y | |
dc.contributor.author | Soda, M | |
dc.contributor.author | Mano, H | |
dc.contributor.author | Soo, R.A | |
dc.contributor.author | Chin, T.-M | |
dc.contributor.author | Ebi, H | |
dc.contributor.author | Yano, S | |
dc.contributor.author | Matsuo, K | |
dc.contributor.author | Niu, X | |
dc.contributor.author | Lu, S | |
dc.contributor.author | Isobe, K | |
dc.contributor.author | Lee, J.-H | |
dc.contributor.author | Yang, J.C | |
dc.contributor.author | Zhao, M | |
dc.contributor.author | Zhou, C | |
dc.contributor.author | Lee, J.-K | |
dc.contributor.author | Lee, S.-H | |
dc.contributor.author | Lee, J.Y | |
dc.contributor.author | Ahn, M.-J | |
dc.contributor.author | Tan, T.J | |
dc.contributor.author | Tan, D.S | |
dc.contributor.author | Tan, E.-H | |
dc.contributor.author | Ong, S.T | |
dc.contributor.author | Lim, W.-T | |
dc.date.accessioned | 2020-09-09T01:20:43Z | |
dc.date.available | 2020-09-09T01:20:43Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Soh, S.X, Siddiqui, F.J, Allen, J.C, Kim, G.W, Lee, J.C, Yatabe, Y, Soda, M, Mano, H, Soo, R.A, Chin, T.-M, Ebi, H, Yano, S, Matsuo, K, Niu, X, Lu, S, Isobe, K, Lee, J.-H, Yang, J.C, Zhao, M, Zhou, C, Lee, J.-K, Lee, S.-H, Lee, J.Y, Ahn, M.-J, Tan, T.J, Tan, D.S, Tan, E.-H, Ong, S.T, Lim, W.-T (2017). A systematic review and meta-analysis of individual patient data on the impact of the BIM deletion polymorphism on treatment outcomes in epidermal growth factor receptor mutant lung cancer. Oncotarget 8 (25) : 41474-41486. ScholarBank@NUS Repository. https://doi.org/10.18632/oncotarget.17102 | |
dc.identifier.issn | 19492553 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/174901 | |
dc.description.abstract | Background: A germline deletion in the BIM (BCL2L11) gene has been shown to impair the apoptotic response to tyrosine kinase inhibitors (TKIs) in vitro but its association with poor outcomes in TKI-treated non-small cell lung cancer (NSCLC)patients remains unclear. We conducted a systematic review and meta-analysis on both aggregate and individual patient data to address this issue. Results: In an aggregate data meta-analysis (n = 1429), the BIM deletion was associated with inferior PFS (HR = 1.51, 95%CI = 1.06-2.13, P = 0.02). Using individual patient data (n = 1200), we found a significant interaction between the deletion and ethnicity. Amongst non-Koreans, the deletion was an independent predictor of shorter PFS (Chinese: HR = 1.607, 95%CI = 1.251-2.065, P = 0.0002; Japanese: HR = 2.636, 95%CI = 1.603-4.335, P = 0.0001), and OS (HR = 1.457, 95% CI = 1.063-1.997, P = 0.019). In Kaplan-Meier analyses, the BIM deletion was associated with shorter survival in non-Koreans (PFS: 8.0 months v 11.1 months, P < 0.0005; OS: 25.7 v 30.0 months, P = 0.042). In Koreans, the BIM deletion was not predictive of PFS or OS. Materials and Methods: 10 published and 3 unpublished studies that reported survival outcomes in NSCLC patients stratified according to BIM deletion were identified from PubMed and Embase. Summary risk estimates were calculated from aggregate patient data using a random-effects model. For individual patient data, Kaplan-Meier analyses were supported by multivariate Cox regression to estimate hazard ratios (HRs) for PFS and OS. Conclusions: In selected populations, the BIM deletion is a significant predictor of shorter PFS and OS on EGFR-TKIs. Further studies to determine its effect on response to other BIM-dependent therapeutic agents are needed, so that alternative treatment strategies may be devised. © Soh et al. | |
dc.publisher | Impact Journals LLC | |
dc.source | Unpaywall 20200831 | |
dc.subject | BIM protein | |
dc.subject | epidermal growth factor receptor | |
dc.subject | erlotinib | |
dc.subject | gefitinib | |
dc.subject | age distribution | |
dc.subject | Article | |
dc.subject | BIM gene | |
dc.subject | cancer prognosis | |
dc.subject | cancer staging | |
dc.subject | Chinese | |
dc.subject | EGFR gene | |
dc.subject | ethnicity | |
dc.subject | gene deletion | |
dc.subject | gene frequency | |
dc.subject | gene linkage disequilibrium | |
dc.subject | genetic association | |
dc.subject | genetic variability | |
dc.subject | genotyping technique | |
dc.subject | human | |
dc.subject | Japanese (people) | |
dc.subject | Korean (people) | |
dc.subject | median survival time | |
dc.subject | non small cell lung cancer | |
dc.subject | overall survival | |
dc.subject | progression free survival | |
dc.subject | sex difference | |
dc.subject | single nucleotide polymorphism | |
dc.subject | smoking | |
dc.subject | survival prediction | |
dc.subject | systematic review | |
dc.subject | treatment outcome | |
dc.type | Article | |
dc.contributor.department | DUKE-NUS MEDICAL SCHOOL | |
dc.contributor.department | CANCER SCIENCE INSTITUTE OF SINGAPORE | |
dc.description.doi | 10.18632/oncotarget.17102 | |
dc.description.sourcetitle | Oncotarget | |
dc.description.volume | 8 | |
dc.description.issue | 25 | |
dc.description.page | 41474-41486 | |
Appears in Collections: | Elements Staff Publications |
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